As a Software Engineer III at JPMorgan Chase within the AI/ML Data Platform team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives.
Job responsibilities
Architect, Build and maintain comprehensive observability systems at scale
Partner with Customers, Product managers, and Engineering teams to develop systems and align observability objectives across the organization.
Provide architectural guidance and establish standards for observability implementations with a strong focus on cost optimization and compliance.
Collaborate with cross-functional teams to drive business impact and customer satisfaction through exceptional software delivery.
Evaluate and implement modern data storage solutions (data warehouses, data lakes) to support advanced analytics and dashboards.
Implement best practices for data transformation, real-time processing and modern data storage solutions to support advanced analytics
Evaluate and introduce new observability tools and technologies, staying current with industry best practices
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 3+ years applied experience
Hands-on practical experience in backend development using Python, Java, Node. js, or Golang.
Expertise with Cloud native observability tools, OpenTelemetry, Grafana / Prometheus / CloudWatch / Datadog etc and associated agents, collectors.
Experience in designing and architecting large-scale distributed systems and cloud-native architecture in AWS.
Excellent communication skills and ability to represent and present business and technical concepts to stakeholders.
Experience with a product-oriented mindset who can see the big picture and engineer solutions centered around customer needs.
Demonstrate a strong sense of responsibility, urgency, and determination.
Preferred qualifications, capabilities, and skills
Familiarity with modern front-end technologies
Familiar with Platform Software Engineer in a dynamic technology company or startup.
Exposure to cloud technologies
Exposure working in AI, ML, or Data engineering.
Exposure in developing Automation frameworks/AI Ops
Job Classification
Industry: Financial ServicesFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data Platform EngineerEmployement Type: Full time